Installed & Measured

Your engineers already use AI. Nobody can tell you what it costs — or what it changed.

We install measured, multi-model AI development systems into software teams: governed model routing, cost tracking per task, and a before/after your CFO will accept — running in your infrastructure, not ours.

Book a private fit call 20 minutes, with David directly. No deck, no drip sequence.
20.6×
cheaper than a hosted-AI vendor on a real 25,000-minute call workload
0% vs 75%
transcription hallucination on our stack vs raw Whisper, measured head-to-head
35.7×
price spread between frontier and workhorse models, captured by routing
2 yrs
operated in production, not slideware — every number above is from our own dashboards
The situation

Ad-hoc AI is a cost center wearing a productivity costume.

Every dev, a different tool

Personal accounts, pasted code, no standards. Your IP is training someone's model and nobody signed off on it.

One vendor, list price

Frontier rates on work a model 30× cheaper handles correctly — because nobody measured which tasks need the top tier.

No number for the board

"Are we getting AI productivity?" deserves better than anecdotes. Right now you have anecdotes.

The engagement

Audit. Install. Measure. Then decide with your own data.

TierDurationInvestmentWhat you get
Readiness Audit2 weeks$15k Workflow & tool audit, security and IP-exposure review by counsel, baseline metrics captured, an install plan you own.
One-Squad Pilot30–45 days$45k–$90k The multi-model system installed in your VPC: routing policy, permissions, per-task cost tracking, team training, a before/after dashboard on your own data.
Full Rollout8–12 weeks$120k–$300k 2–6 squads, internal champions trained, approved-model matrix, governance playbook, executive reporting.
The math we hold ourselves to: a 20-engineer team is roughly $3M/yr of capacity. A conservative 10% throughput gain is $300k/yr — the pilot pays for itself in months, and the measurement layer we install is what proves it either way.
Why us

We run this system ourselves. That's the whole difference.

Most AI consultants sell a slide deck about a future. We install a system we have operated for two years — a private multi-GPU inference farm, governed model routing, on-prem privacy with PII stripped before anything reaches a frontier lab — and every claim comes with a measured number from our own operation. We run frontier APIs, cheap APIs, and our own hardware daily, so the recommendation about what belongs where is earned, not guessed.

David Maples — IP & internet-law attorney CEO, Kalre Technologies Builds & operates shipping AI products AI keynote speaker · Host, AI: The Podcast
This is for you if you lead engineering at a software company with 15–200 developers, AI usage is already happening whether you sanctioned it or not, and you need it standardized, secured, and measured. It isn't for you if you want a strategy deck, a chatbot, or a keynote — we install systems.
Next step

A 20-minute fit call. Bring one number if you have it: last month's AI spend.

If we're not a fit, you'll leave with the two changes we'd make anyway. If we are, the audit starts with your baseline — so whatever you decide later, you decide it with data.

Book the call

[calendar link] · or email david@maplesaisystems.com